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Gemini 2.5 Pro vs GLM-5.3

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is 1.6x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 2.5 Pro outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam). GLM-5.3 significantly outperforms across most benchmarks.

On price, GLM-5.3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 2.5 Pro

  • you process long inputs — it offers a 1,048,576 token context window

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.6x cheaper per token
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemini 2.5 Pro
Google
GLM-5.3
Zhipu AI
Benchmark wins
0 of 1
1 of 1
Input price
$1.25 / M
$1.40 / M
Output price
$10.00 / M
$4.40 / M
Context window
1,048,576
1,000,000
Released
May 2025
Aug 2026
License
Proprietary
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam).

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3 costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 1.1x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 2.3x more expensive than GLM-5.3 ($4.40/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than GLM-5.3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to GLM-5.3's 1,000,000 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas GLM-5.3 does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 15 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5.3's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5.3's cutoff date.

Gemini 2.5 Pro

Jan 2025

GLM-5.3

—

Provider Availability

Gemini 2.5 Pro is available from Google. GLM-5.3 is available from ZAI.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro and GLM-5.3 side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro vs GLM-5.3.

Which is better, Gemini 2.5 Pro or GLM-5.3?

GLM-5.3 significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to GLM-5.3 in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Gemini 2.5 Pro cheaper than GLM-5.3?

Gemini 2.5 Pro is 1.1x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for Gemini 2.5 Pro and GLM-5.3?

Gemini 2.5 Pro supports 1.0M tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro and GLM-5.3?

Key differences include context window (1.0M vs 1.0M), input pricing ($1.25 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and GLM-5.3?

Gemini 2.5 Pro is developed by Google and GLM-5.3 is developed by Zhipu AI.

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